Mo Chen Email and Phone Number

➡️ Defined and developed executive level Data Management metrics across all business areas to create comparability across the bank. Centralised the data gathering process of these metrics using Python (to capture data in a single location), and created the visuals as a set of Tableau dashboards.➡️ Built the Data Management Tableau dashboards for our investment banking franchise with a focus on ownership and data quality to highlight the gap in ownership and data quality profiling.➡️ Led the work involving data/business analysts to enhance the capabilities and functionalities of the bank’s strategic tool to capture metadata, focusing on all aspects of Data Management from lineage, through data quality profiling, to remediation.➡️ Developed a workflow tracking solution to capture incoming lineage, modelling, data quality profiling and remediation work items using Planview, and visualised the information using dynamic Tableau dashboards to help highlight backlog items and priorities.

➡️ Defined cost efficiency and productivity metrics and established benchmarks to drive a culture of continuous improvement➡️ Identified hotspots and potential efficiency opportunities through utilising existing data, connecting data silos and creating new data points➡️ Facilitated the development of the bank-wide headcount forecasting model - to achieve more accurate forecasts through better understanding of our workforce and capabilities➡️ Led the design of the multi-year cost insight tool to help meet cost reduction targets by providing real-time status of latest cost initiatives and cost gaps➡️ Aligned headcount forecasts to cost budgets by working closely with HR and Finance teams and through analysing cost and people data➡️ Oversaw the delivery of Customer Journey dashboards (e.g. Account Opening, Commercial Lending) to enable accurate tracking of customer journey KPIs

➡️ Ensured that NatWest Markets risk appetite for country, sector and product and asset class breaches were actively remediated and resolved by identifying and managing limit breaches.➡️ Conducted weekly reviews of settlement risk reports capturing daily settlement risk limit on a forward payment ladder basis at the portfolio level – to mitigate and manage FX settlement risk at both the counter party and total portfolio level.➡️ Participated in the planning and review of bank-wide risk appetite limits to ensure they continued to reflect the stated risk appetite.➡️ Built a dynamic, automated Credit Portfolio Dashboard to support country and sector reviews, and to enable senior management to make decisions based on real-time data.➡️ Co-ordinated the Corporate and Financial Institutions line by line credit portfolio reviews to tackle covid-19 impacts pro-actively.

➡️ Completed three placements in Provisioning & Restructuring, Credit Model Risk and Prudential Regulation & Frameworks.➡️ Used SQL to manipulate and analyse large datasets to generate credit risk insights for both personal and commercial products (secured & unsecured).➡️ Used Python to build, test and validate default rate forecasting models to provide independent challenge / support model governance.➡️ Captured model risks through analysing model inputs & outputs, and latest regulations.